AI Skill Hub 强烈推荐:论文阅读器 是一款优质的Agent工作流。AI 综合评分 8.0 分,在同类工具中表现稳健。如果你正在寻找可靠的Agent工作流解决方案,这是一个值得深入了解的选择。
本地优先的AI论文阅读器,支持向量化PDF、页码/边界框引用、OCR/TS
论文阅读器 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
本地优先的AI论文阅读器,支持向量化PDF、页码/边界框引用、OCR/TS
论文阅读器 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
# 方式一:cargo install(推荐) cargo install lumenfolio # 方式二:从源码编译 git clone https://github.com/tanghui315/lumenfolio cd lumenfolio cargo build --release # 二进制在 ./target/release/lumenfolio
# 查看帮助 lumenfolio --help # 基本运行 lumenfolio [options] <input> # 详细使用说明请查阅文档 # https://github.com/tanghui315/lumenfolio
# lumenfolio 配置说明 # 查看配置选项 lumenfolio --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export LUMENFOLIO_CONFIG="/path/to/config.yml"
A local-first AI knowledge base — your second brain, fed by everything you read.
Collect PDFs, Office files, web pages and your own notes; write and link them in the app; then ask your whole library and get answers with citations that jump back to the source.
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Available for macOS Intel, macOS Apple Silicon, and Windows x86_64.
Lumenfolio is a local-first desktop knowledge base with an AI agent that can actually read it. You bring in sources — PDFs, Word/Excel/PowerPoint files, web clips, Markdown, or notes you write yourself — and Lumenfolio indexes them into one searchable, linkable library on your machine.
The default loop is ask your whole knowledge base. Focusing on a single source is the option, not the requirement.
It is not "chat over a file". Answers are grounded in a local evidence layer — pages, blocks, chunks, structure, tables, visual regions, citations and bounding boxes — that points back at the exact place a claim came from. That same evidence layer can be exposed through local MCP tools, so a signed-in Codex / Claude Code CLI can gather evidence and answer inside your library.
If Lumenfolio is useful to you, a star helps other people find it.
@-mention or drag-to-reference for specific sources.md files; database snapshots with scheduled backup and restorenpm run build
cd src-tauri && cargo test
Additional project checks:
npm run check:translation-linking
npm run check:prod-no-testids
.md files in the folder you choose, and the database can be snapshotted to a folder you choose.npm install
npm run tauri:dev
For browser-only UI iteration:
npm run dev
An optional, local-first discovery feed of trending papers from Hugging Face, with Daily/Weekly/Monthly scopes and one-click add into your library. Nothing is fetched until you open it, and a PDF is downloaded only on an explicit add. It is a side utility, not the centre of the app — turn it off in Settings and the entry disappears.
Your library does not have to be reachable only from inside this app. Turn on the Knowledge API in Settings and Lumenfolio runs a local, read-only MCP endpoint that any MCP client — Claude Code, Codex, your own harness — can query.
claude mcp add --transport http lumenfolio http://127.0.0.1:37650/mcp \
--header "Authorization: Bearer <token>"
Settings has one-click commands for Claude Code and Codex with the token filled in, so connecting is a copy and a paste.
The external client gets the same retrieval tools the in-app agent uses: list_sources to see what the library holds, search_library_knowledge to find sources by topic, then search_chunks, open_pages, read_sheet, inspect_tables and the rest to read one — all returning quotes with their source, page and bounding box.
Two differences from the in-app path, both deliberate:
- An unknown source id is an error, not a substitution. In-app, a model that invents an id gets the open document, which is the right degradation mid-turn. A program that names a source must be told it does not exist, rather than handed a different one's text and no way to notice. - Web tools are off. An external harness has its own network access; proxying its requests would lend it this app's proxy and API keys as an egress path.
The boundary this crosses. It is off by default. While on, it binds loopback only and never listens on the network — but any process on your machine holding the token can read your entire knowledge base without going through the app. The token can be rotated at any time, which restarts the endpoint and cuts off anything still using the old one. It is read-only: nothing reachable through it can create, edit or delete.
一个高效的本地AI论文阅读器,支持多种功能
该工具使用 AGPL-3.0 协议,商用场景请仔细阅读协议条款,必要时咨询法律意见。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
⚠️ AGPL 3.0 — 最严格的 Copyleft,网络服务端使用也需开源,SaaS 使用受限。
总体来看,论文阅读器 是一款质量优秀的Agent工作流,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | lumenfolio |
| 原始描述 | 开源AI工作流:Local-first AI paper reader with vectorless PDF RAG, page/bbox citations, OCR/TS。⭐12 · Rust |
| Topics | AI论文阅读Rust本地优先 |
| GitHub | https://github.com/tanghui315/lumenfolio |
| License | AGPL-3.0 |
| 语言 | Rust |
收录时间:2026-06-17 · 更新时间:2026-06-20 · License:AGPL-3.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端